---
base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment
tags:
- generated_from_trainer
model-index:
- name: twitter-xlm-roberta-base-sentiment
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# twitter-xlm-roberta-base-sentiment

This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co./cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6716
- Rmse: 0.7078

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rmse   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.7639        | 1.0   | 500  | 0.7273          | 0.7639 |
| 0.6884        | 2.0   | 1000 | 0.6900          | 0.7580 |
| 0.6088        | 3.0   | 1500 | 0.6716          | 0.7078 |
| 0.4964        | 4.0   | 2000 | 0.6728          | 0.6826 |
| 0.3749        | 5.0   | 2500 | 0.8286          | 0.6753 |
| 0.2813        | 6.0   | 3000 | 0.9432          | 0.6968 |
| 0.2173        | 7.0   | 3500 | 1.2781          | 0.7235 |
| 0.1764        | 8.0   | 4000 | 1.3567          | 0.7221 |
| 0.122         | 9.0   | 4500 | 1.5207          | 0.7004 |
| 0.0946        | 10.0  | 5000 | 1.5687          | 0.6996 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1